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Showing 1 to 15 of 134 results Save | Export
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Abdolvahab Khademi; Craig S. Wells; Maria Elena Oliveri; Ester Villalonga-Olives – SAGE Open, 2023
The most common effect size when using a multiple-group confirmatory factor analysis approach to measurement invariance is [delta]CFI and [delta]TLI with a cutoff value of 0.01. However, this recommended cutoff value may not be ubiquitously appropriate and may be of limited application for some tests (e.g., measures using dichotomous items or…
Descriptors: Factor Analysis, Factor Structure, Error of Measurement, Test Items
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Hyunjung Lee; Heining Cham – Educational and Psychological Measurement, 2024
Determining the number of factors in exploratory factor analysis (EFA) is crucial because it affects the rest of the analysis and the conclusions of the study. Researchers have developed various methods for deciding the number of factors to retain in EFA, but this remains one of the most difficult decisions in the EFA. The purpose of this study is…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Goodness of Fit
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Acar Guvendir, Meltem; Ozer Ozkan, Yesim – International Journal of Assessment Tools in Education, 2022
The aim of this study is to examine how the practice of different item removal strategies during exploratory factor analysis (EFA) phase of scale development change the number of factors, factor loadings, explained variance ratio, and reliability values (a and ?) explained. In the study, data obtained from 379 university students were used for the…
Descriptors: Test Items, Factor Analysis, Factor Structure, Test Construction
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Avsar, Asiye Sengül – Participatory Educational Research, 2022
It is necessary to supply proof regarding the construct validity of the scales. Especially, when new scales are developed the construct validity is researched by the Exploratory Factor Analysis (EFA). Generally, factor extraction is performed via the Principal Component Analysis (PCA) which is not exactly factor analysis and the Principal Axis…
Descriptors: Factor Analysis, Automation, Construct Validity, Item Response Theory
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Yalalem Assefa; Bekalu Tadesse Moges; Shouket Ahmad Tilwani – Journal of Applied Research in Higher Education, 2024
Purpose: Lifelong learning has become one of the most interesting areas of research. Hence, the current study was aimed at developing and validating a tool that helps to study how well people working in higher education institutions are engaged in lifelong learning. Design/methodology/approach: A review of theories in the literature and experts'…
Descriptors: Lifelong Learning, Measures (Individuals), Likert Scales, Test Construction
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Chidubem Deborah Adamu – Research in Social Sciences and Technology, 2024
The Fourth Industrial Revolution Chemistry Teachers Effectiveness Scale (4IRCTES) was evaluated in secondary schools in Southwest Nigeria to determine its item discrimination, item parameters, and model-data fit. This study utilised a descriptive survey research design and included 4,986 Chemistry teachers in the southwestern region of Nigeria,…
Descriptors: Secondary School Teachers, Science Teachers, Chemistry, Foreign Countries
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Lyniesha Ward; Fridah Rotich; Jeffrey R. Raker; Regis Komperda; Sachin Nedungadi; Maia Popova – Chemistry Education Research and Practice, 2025
This paper describes the design and evaluation of the Organic chemistry Representational Competence Assessment (ORCA). Grounded in Kozma and Russell's representational competence framework, the ORCA measures the learner's ability to "interpret," "translate," and "use" six commonly used representations of molecular…
Descriptors: Organic Chemistry, Science Tests, Test Construction, Student Evaluation
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Daniel A. DeCino; Steven R. Chesnut; Phillip L. Waalkes; Reed N. Keen – Measurement and Evaluation in Counseling and Development, 2025
Objective: The purpose of this study was to develop and validate the Counselor Self-Reflection Inventory (CSRI) from a Transformative Learning Theory framework for counselors, and counselors-in-training to use in clinical and training settings. Method: A sample of 351, mostly female (86.89%), white (85.19%), counselors with MS or MA (88.08%)…
Descriptors: Test Construction, Test Validity, Test Reliability, Attitude Measures
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Sophie Langhorne; Nora Uglik-Marucha; Charlotte Broadhurst; Elena Lieven; Amelia Pearson; Silia Vitoratou; Kathy Leadbitter – Journal of Autism and Developmental Disorders, 2025
Tools to measure autism knowledge are needed to assess levels of understanding within particular groups of people and to evaluate whether awareness-raising campaigns or interventions lead to improvements in understanding. Several such measures are in circulation, but, to our knowledge, there are no psychometrically-validated questionnaires that…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Questionnaires, Psychometrics
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Karina Mostert; Clarisse van Rensburg; Reitumetse Machaba – Journal of Applied Research in Higher Education, 2024
Purpose: This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested. Design/methodology/approach: A cross-sectional design was used. For the study on intention to drop out, 1,820…
Descriptors: Intention, Potential Dropouts, Student Satisfaction, Test Items
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Salim Nabhan; Anita Habók – SAGE Open, 2025
As the integration of digital technologies continues to shape academic landscapes, assessing digital literacy in the context of academic writing becomes paramount. Several instruments and frameworks are available for measuring digital literacy and examining it from different perspectives; however, none are suitable for measuring the digital…
Descriptors: Digital Literacy, Academic Language, Writing (Composition), Measures (Individuals)
Kathryn Lynn Black – ProQuest LLC, 2021
In the process of instrument development, developers follow protocols and conduct analyses to ensure psychometric properties are met. During development, developers determine an assessment format that best aligns to their desired construct, including direct or indirect assessment. Within indirect assessment, participants hold a non-active role in…
Descriptors: Measures (Individuals), Early Childhood Education, Factor Structure, Factor Analysis
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Deborah Rivas-Drake; Jozet Channey; Gina McGovern; Bernardette J. Pinetta – AERA Open, 2024
This article delineates the development of a measure to assess teachers' reported engagement in practices that center on issues of racial equity as part of their SEL instruction. An iterative mixed-method approach included theoretical grounding, literature reviews, content expert evaluation, focus groups, cognitive interviews, and multiple survey…
Descriptors: Equal Education, Social Emotional Learning, Measures (Individuals), Test Construction
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Zhong Jian Chee; Anke M. Scheeren; Marieke de Vries – Autism: The International Journal of Research and Practice, 2024
Despite several psychometric advantages over the 50-item Autism Spectrum Quotient, an instrument used to measure autistic traits, the abridged AQ-28 and its cross-cultural validity have not been examined as extensively. Therefore, this study aimed to examine the factor structure and measurement invariance of the AQ-28 in 818 Dutch (M[subscript…
Descriptors: Autism Spectrum Disorders, Questionnaires, Factor Structure, Factor Analysis
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Zofia Mazur-Socha; Mariola Laguna; Peter Gollwitzer – Music Education Research, 2024
This article reports on the development and validation of the Instrumental Practice Goal Realization Inventory (IPGRI) designed to assess the process of self-directed study, beginning with setting the intention to practice and ending with the evaluation of one's performance. This new tool is based on the theoretical model of action phases. The…
Descriptors: Music Education, Music Activities, Measures (Individuals), Test Construction
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